2nd Workshop on Functional High-Performance Computing (FHPC'13)
Boston, Massachusetts, US
Photo credit: Werner Kunz
The 2nd ACM SIGPLAN Workshop on
Functional High-Performance Computing, FHPC'13
Boston, Massachusetts, US
23 September 2013
Co-located with the
18th ACM SIGPLAN International Conference on Functional Programming (ICFP 2013)
|Jump to:||Background, Submission instructions, Travel Support, Accepted Papers, Workshop Programme, Workshop Organisation, Call for papers: CfP in txt format and CfP in html format.|
The FHPC workshop aims at bringing together researchers exploring uses of functional (or more generally, declarative or high-level) programming technology in application domains where large-scale computations arise naturally and high performance is essential. Such computations would typically -- but not necessarily -- involve execution on highly parallel systems ranging from multi-core multi-processor systems to graphics accelerators (GPGPUs), reconfigurable hardware (FPGAs), large-scale compute clusters or any combination thereof. It is becoming apparent that radically new and well founded methodologies for programming such systems are required to address their inherent complexity and to reconcile execution performance with programming productivity.
The aim of the meeting is to enable sharing of results, experiences, and novel ideas about how high-level, declarative specifications of computationally challenging problems can serve as highly transparent, maintainable, and portable code that approaches (or even exceeds) the performance of machine-oriented imperative implementations.
Each FHPC workshop proposes a particular theme for applications where
high-performance computing and/or functional programming technology
can be applied. For FHPC 2013, the theme is "Large-Scale Simulation",
traditionally one of the main driving forces behind supercomputing.
A large fraction of compute cycles in supercomputers worldwide is spent
on simulation tasks, for various engineering tasks, drug design and
other medical simulations, and in different natural science domains.
Declarative languages have potential to radically change development
practice and workflow for simulation software in these areas.
Hence, we particularly encourage submission of application-oriented
contributions in the area of simulation.
As a general rule, while proposing the theme, the workshop welcomes submissions from all relevant application domains as well as those describing general work on the theory and practice of declarative high-performance computing.
FHPC 2013 is the second workshop in the FHPC series. The first workshop was run in 2012, affiliated with ICFP in Copenhagen.
Submission and publication
Contributions should be submitted via Easychair. Submitted papers must be in portable document format (PDF), formatted according to the ACM SIGPLAN style guidelines (double column, 9pt format). See the SIGPLAN Author Information page for more information and style files. The page limit is 12 pages. Any paper submitted must adhere to ACM SIGPLAN's republication policy. Submission deadlines and page limit are firm.
Accepted papers will be published by the ACM and will appear in the ACM Digital Library.
The deadline has passed, the FHPC'13 submission site is closed.
- Submission deadline: 19 June 2013 (anywhere on Earth), anywhere on Earth.
- Author notification: 11 July 2013
- Final papers due: 28 July 2013 (instructions for authors)
- Workshop: 23 September 2013
Student attendees with accepted papers can apply for a SIGPLAN PAC grant to help cover travel expenses. PAC also offers other support, such as for child-care expenses during the meeting or for travel costs for companions of SIGPLAN members with physical disabilities, as well as for travel from locations outside of North America and Europe. For details on the PAC programme, see http://www.sigplan.org/PAC.htm.
The Manticore Project(invited talk)
ViperVM: a Runtime System for Parallel Functional High-Performance Computing on Heterogeneous Architectures
Towards a Streaming Model for Nested Data Parallelism
Towards Systematic Parallel Programming of Graph Problems via Tree Decomposition and Tree Parallelism
Counting and Occurrence sort for GPUs using an Embedded Language
A T2 Graph-Reduction Approach To Fusion
Sematics-Preserving Data Layout Transformations for Improved Vectorisation
LVars: Lattice-based Data Structures for Deterministic Parallelism
Towards a functional run-time for dense NLA domain
Data Parallelism in Haskell(invited talk)
Data Parallelism and GPU Computing
A detailed programme with abstracts is available on a separate page.
- Umut Acar (co-chair), Carnegie Mellon University, PA, USA (firstname.lastname@example.org)
- Arvind, MIT, MA, USA
- Jost Berthold (co-chair), U. of Copenhagen, Denmark (email@example.com)
- Guy Blelloch, Carnegie Mellon U., PA, USA
- Hassan Chafi, Oracle Labs, CA, USA
- Dan Spoonhower, Google, CA, USA
- Sergei Gorlatch, U. Münster, Germany
- Clemens Grelck, U. of Amsterdam, Netherlands
- Vinod Grover, NVidia, USA
- Torsten Grust, U.Tübingen, Germany
- Zhenjiang Hu, National Inst. of Informatics, Tokyo, Japan
- Suresh Jagannathan, Purdue U., USA
- Gabriele Keller, U. New South Wales, Sydney, Australia
- Yaron Minsky, Jane Street Capital, NY, USA
- Jens Palsberg, U. of California, CA, USA
- Leaf Peterson, Intel, USA
- Mike Rainey, MPI-SWS,Kaiserslautern, Germany
- Sven-Bodo Scholz, Heriot-Watt U., Edinburgh, UK
- Guy Steele, Oracle Labs, Burlington, MA, USA
- Fritz Henglein, Dept. of Computer Science (DIKU), University of Copenhagen, Denmark; firstname.lastname@example.org
- Clemens Grelck, Informatics Instititute, University of Amsterdam, Netherlands; email@example.com